opt-350m-instruct safetensors download | Hugging Bay

Q: What is this model?

nnpy/opt-350m-instruct is an open-weights language model for text generation published by nnpy, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: nnpy/opt-350m-instruct · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

nnpy/opt-350m-instruct has 350M parameters. Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 2.65 GB. The recommended download, model.safetensors, is 1.32 GB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 2.65 GB. The original release is at https://huggingface.co/nnpy/opt-350m-instruct.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-nnpy-opt-350m-instruct/safety on Hugging Bay.

Q: Will nnpy/opt-350m-instruct run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

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opt-350m-instruct

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nnpy/opt-350m-instruct

Model details

text generationLicense: apache-2.0SHA-256 recorded for 9 of 10 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for generating text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-nnpy-opt-350m-instruct/model.safetensors",
    "model.safetensors",
)

Other ways

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See app requirements

8 hosted of 10 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.32 GB · 1 file Download · 1.32 GB (1 file)

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Check your download →

Compare your file’s SHA-256 with the recorded hash.

8 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	1.32 GB	`6e96525f…c3d719a6` `6e96525f6742ac5a0dcf6a0e0a85e10359be19e119437ca73a9ac031c3d719a6`	Hosted	Baixar
`pytorch_model.bin`	1.32 GB	`2b566cb3…4af96cda` `2b566cb3c1a29963866462b83bc88c37fef8bae14c8a5a2e644bb80d4af96cda`	Upstream only	File metadata
Tokenizer & config
`config.json`	749 bytes	`9fbcbcfc…320f543a` `9fbcbcfc5618786e706ad270dbb6b883ebf09aaff89314105f6a8f7b320f543a`	Hosted	Baixar
`generation_config.json`	132 bytes	`6bf2a8f5…715f7b33` `6bf2a8f5f349ceb45c773d1a6e3d8bb7b7cd46b21886c401980f292e715f7b33`	Hosted	Baixar
`special_tokens_map.json`	441 bytes	`0f3cd5f3…4258adf0` `0f3cd5f307a2735cfee31ddf33be88655e8be165ee2cdc26ced966f04258adf0`	Hosted	Baixar
`tokenizer_config.json`	685 bytes	`d1e4185b…f6c14c6b` `d1e4185b43a0a06421ab7218d5c1a775350bd13024507b34fbed25dcf6c14c6b`	Hosted	Baixar
`vocab.json`	898.8 KB	`06b4d46c…ad5e1cab` `06b4d46c8e752d410213d9548eb27a54db70fda0319b6271fb8d59dead5e1cab`	Hosted	Baixar
`merges.txt`	456.3 KB	`1ce16647…7726adc5` `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5`	Hosted	Baixar
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	593 bytes	`8bd1ede5…317f4da0` `8bd1ede5674b0728156c77bf2ddfc9e6ff07bf60205ed2cda8905f4b317f4da0`	Hosted	Baixar

Verificar um download

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

opt-350m-instruct

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